Luca Mantani

765 total citations · 1 hit paper
20 papers, 399 citations indexed

About

Luca Mantani is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Luca Mantani has authored 20 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nuclear and High Energy Physics, 5 papers in Astronomy and Astrophysics and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Luca Mantani's work include Particle physics theoretical and experimental studies (19 papers), High-Energy Particle Collisions Research (7 papers) and Dark Matter and Cosmic Phenomena (7 papers). Luca Mantani is often cited by papers focused on Particle physics theoretical and experimental studies (19 papers), High-Energy Particle Collisions Research (7 papers) and Dark Matter and Cosmic Phenomena (7 papers). Luca Mantani collaborates with scholars based in United Kingdom, Belgium and Italy. Luca Mantani's co-authors include Fabio Maltoni, Juan Rojo, Eleni Vryonidou, Emma Slade, Giacomo Magni, Cen Zhang, Jacob Ethier, Chiara Arina, Emanuele R. Nocera and Jan Heisig and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and Physical review. D.

In The Last Decade

Luca Mantani

20 papers receiving 395 citations

Hit Papers

Combined SMEFT interpreta... 2021 2026 2022 2024 2021 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Combined SMEFT interpretation of Higgs, diboson, and top quark data from the LHC
    2021 134 citations Jacob Ethier, Giacomo Magni et al. Journal of High Energy Physics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luca Mantani United Kingdom 8 367 106 35 24 15 20 399
H. Lacker Germany 7 978 2.7× 84 0.8× 21 0.6× 29 1.2× 18 1.2× 11 1.0k
Alejandro Szynkman Argentina 14 554 1.5× 62 0.6× 21 0.6× 23 1.0× 13 0.9× 40 560
Susanne Westhoff Germany 11 510 1.4× 83 0.8× 15 0.4× 27 1.1× 13 0.9× 23 522
Maeve Madigan United Kingdom 9 381 1.0× 59 0.6× 11 0.3× 30 1.3× 16 1.1× 15 401
Gauthier Durieux United States 13 561 1.5× 98 0.9× 10 0.3× 18 0.8× 31 2.1× 22 573
Emma Slade United Kingdom 4 815 2.2× 51 0.5× 18 0.5× 26 1.1× 21 1.4× 5 832
O. Abdinov Canada 10 305 0.8× 63 0.6× 9 0.3× 16 0.7× 11 0.7× 23 333
Domenico Bonocore Germany 6 234 0.6× 59 0.6× 18 0.5× 14 0.6× 13 0.9× 12 271
Felix Wilsch Switzerland 8 324 0.9× 48 0.5× 16 0.5× 10 0.4× 17 1.1× 9 345
Matthew Low United States 11 619 1.7× 233 2.2× 34 1.0× 35 1.5× 9 0.6× 23 673

Countries citing papers authored by Luca Mantani

Since Specialization
Citations

This map shows the geographic impact of Luca Mantani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luca Mantani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Mantani more than expected).

Fields of papers citing papers by Luca Mantani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Mantani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luca Mantani. The network helps show where Luca Mantani may publish in the future.

Co-authorship network of co-authors of Luca Mantani

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Mantani. A scholar is included among the top collaborators of Luca Mantani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luca Mantani. Luca Mantani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mantani, Luca, et al.. (2025). Connecting scales: RGE effects in the SMEFT at the LHC and future colliders. Journal of High Energy Physics. 2025(6). 4 indexed citations
2.
Mantani, Luca & Verónica Sanz. (2025). Probing the flavour-blind SMEFT: EFT validity and the interplay of energy scales. Journal of High Energy Physics. 2025(6). 1 indexed citations
3.
Mantani, Luca, et al.. (2025). Higgs trilinear coupling in the standard model effective field theory at the high luminosity LHC and the FCC-ee. Physical review. D. 112(1). 3 indexed citations
4.
Giani, T., et al.. (2024). Mapping the SMEFT at high-energy colliders: from LEP and the (HL-)LHC to the FCC-ee. Journal of High Energy Physics. 2024(9). 36 indexed citations
5.
Madigan, Maeve, et al.. (2024). A critical study of the Monte Carlo replica method. Journal of High Energy Physics. 2024(12). 6 indexed citations
6.
Kassabov, Zahari, et al.. (2024). SIMUnet: an open-source tool for simultaneous global fits of EFT Wilson coefficients and PDFs. The European Physical Journal C. 84(8). 805–805. 7 indexed citations
7.
Arina, Chiara, Benjamin Fuks, Jan Heisig, et al.. (2023). Comprehensive exploration of t-channel simplified models of dark matter. Physical review. D. 108(11). 7 indexed citations
8.
Kassabov, Zahari, Maeve Madigan, Luca Mantani, et al.. (2023). The top quark legacy of the LHC Run II for PDF and SMEFT analyses. Journal of High Energy Physics. 2023(5). 33 indexed citations
9.
Kassabov, Zahari, Maeve Madigan, Michelangelo L. Mangano, et al.. (2023). Hide and seek: how PDFs can conceal new physics. Journal of High Energy Physics. 2023(11). 20 indexed citations
10.
Aoude, Rafael, Eric Madge, Fabio Maltoni, & Luca Mantani. (2023). Probing new physics through entanglement in diboson production. Journal of High Energy Physics. 2023(12). 35 indexed citations
11.
Mantani, Luca, et al.. (2022). Searching for Dark Matter with circularly polarised photons from the Galactic Centre. 173–173. 1 indexed citations
12.
Mantani, Luca. (2022). Quantum SMEFT tomography: top quark pair. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 858–858. 1 indexed citations
13.
Cermeño, Marina, Céline Degrande, & Luca Mantani. (2022). Signatures of leptophilic t-channel dark matter from active galactic nuclei. Physical review. D. 105(8). 6 indexed citations
14.
Aoude, Rafael, Eric Madge, Fabio Maltoni, & Luca Mantani. (2022). Quantum SMEFT tomography: Top quark pair production at the LHC. Physical review. D. 106(5). 2 indexed citations
15.
Ethier, Jacob, Giacomo Magni, Fabio Maltoni, et al.. (2021). Combined SMEFT interpretation of Higgs, diboson, and top quark data from the LHC. Journal of High Energy Physics. 2021(11). 134 indexed citations breakdown →
16.
Arina, Chiara, et al.. (2021). Closing in on $\textit{t}$-channel simplified dark matter models. Physics Letters B. 813. 136038. 2 indexed citations
17.
Heisig, Jan, Chiara Arina, Fabio Maltoni, et al.. (2021). Studying dark matter with MadDM 3.1: a short user guide. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 5 indexed citations
18.
19.
Arina, Chiara, et al.. (2020). Closing in on t-channel simplified dark matter models. Physics Letters B. 813. 136038–136038. 18 indexed citations
20.
Ambrogi, F., Chiara Arina, Mihailo Backović, et al.. (2018). MadDM v.3.0: A comprehensive tool for dark matter studies. Physics of the Dark Universe. 24. 100249–100249. 76 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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